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Low-Frequency Earthquakes Accompany Deep Slow-Slip beneath the North Island of New-Zealand
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  • Florent Aden-Antoniow,
  • William B. Frank,
  • Calum J. Chamberlain,
  • John Townend,
  • Laura M. Wallace,
  • Stephen Bannister
Florent Aden-Antoniow
University of Southern California

Corresponding Author:adenanto@usc.edu

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William B. Frank
University of Southern California
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Calum J. Chamberlain
Victoria University of Wellington
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John Townend
Victoria University of Wellington
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Laura M. Wallace
GNS Science
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Stephen Bannister
GNS Science
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Abstract

Slow-Slip Events (SSEs) haven been observed along the Hikurangi subduction zone of the North Island of New-Zealand. They occur both in the shallow plate interface (<15km depth) and at the deeper end of the seismogenic-zone (>30km depth). Some slow slip events in New-Zealand are also accompanied by tectonic tremors, although tremor is not as common at the Hikurangi subduction zone compared to other subduction zones. We present a systematically generated catalog of low-frequency earthquakes (LFEs) for the central Hikurangi margin. To detect preliminary LFEs from the continuous seismic data we used a Matched-Filter technique with template waveforms from the tectonic tremor catalog of Romanet & Ide [2019]. The resulting detections were gathered as families and an innovative stacking technique was used to extract high-quality waveforms in order to build a set of LFE templates for a second Matched-Filter search. From these second generation detections, we developed a methodology to continuously scan the entire dataset for coherent impulsive waveforms similar to LFE that occuring on the subducting plate interface. The LFEs are organized into episodes of intense activity during deep M7 SSEs that occur absit every 5 years beneath the Manawatu region. One of our LFE bursts occurs during a small, deep SSE recognized at the central Hikurangi margin in 2008 (Wallace and Eberhart-Phillips, 2013). We expect that the other LFE episodes highlight small slow transients that have not yet been geodetically observed. In this presentation, we discuss the spatiotemporal evolution of LFEs in regard to potential aseismic transients that can be observed in the GPS data-set acquired by GeoNet.